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The 2nd International Workshop on Database Technology and Applications (DBTA2010)
7 L5 U+ r; F8 B第二届IEEE数据库技术与应用国际会议-DBTA2010(DBTA2009已全部EI Compendex检索)5 p8 S% g& Y8 x3 c
11月27-28,2010,武汉,中国
6 a0 E* R2 l8 E. hhttp://www.icdbta.org/, ?# P" O+ v6 h! C+ q1 A
* c- X3 K1 `+ ^' p. ^5 Z论文提交日期: 2010年8月18日
: E' R' b9 M6 A% o2 B( a论文录用通知日期: 2010年9月 16 日
, T9 Z# L- g% G' P7 T论文修订版本提交日期: 2010年9月22日
) K* ]4 w' \# i论文注册日期: 2010年9月28日9 B ]& C: J5 ~4 n: @
论文提交系统: http://www.icdbta.org/dbta2010/submission/9 a& \' R, Z( S5 c8 G: i4 w
会议论文模版: http://www.icdbta.org/dbta2010/instruct8.5x11.doc(只接受英文稿件)
( n8 s7 J9 h# L5 s. r! l1 G' zIEEE会议论文版权表: http://www.icdbta.org/dbta2010/IEEECopyrightForm.doc (录用注册后提交)
% j# R, J" A, b/ E; @: u* U0 o! T- j
4 Q) l# S" {0 e* X/ {- J, `第二届IEEE数据库技术与应用国际会议(DBTA2010)将于2010年11月27-28日在中国-武汉召开。第一届IEEE数据库技术与应用国际会议(DBTA2009)全部收录的论文已经被EI Compendex检索。DBTA2010将由美国IEEE出版社出版,收录的论文将全部被ISTP和EI Compendex检索。会议优秀论文将被推荐选入EI或SCI国际期刊专刊发表。
5 h! x9 l+ F: C6 N2 p) K1 J! w3 I/ E A, L" q
欢迎研究员、工程师、教师和学生踊跃投稿,会议论文主题由以下领域构成,但并不局限于:/ y: Y9 j0 h, H2 ^
# {% K! K2 V4 o) E! U1. Database and Related Issue ( B$ g! p) I5 _! z# F: X
Temporal Data
+ ]& @+ I, [- b% O4 jScientific Databases
3 s6 G. H5 p5 h: m$ d5 Y, wBusiness database software
# X6 c: L; C1 MComputer data processing - [( p8 \3 [/ `, ^% [, J7 @
Data processing services + v: Q- `; }/ i9 x3 ^/ S+ t
Data processing supplies
" S- B0 v0 G" |Data processing systems) b% B- V4 J [5 ]6 B* N+ t- V
Metadata Management& k. M y9 ]5 U! k
Mobile Data and Information
& k" }9 k$ L F** Databases7 j g2 h+ @6 D4 d: G' m) w! e t
WWW and Databases1 u) b2 `' X7 e1 ^
Workflow Management and Databases
% [$ c8 ]1 I2 Q( HXML and Databases
& Z! l: ], b1 Z, t G9 J** Databases8 p2 S& `% A7 ?
Data modeling and architectures6 a+ B6 ]* C5 J9 s; h+ S5 |
Data streaming, data provenance and data quality
* p8 O8 ~. l; B) W3 f0 w6 p' ?Data Security, privacy, and data integrity
7 n( v: K8 d I# b8 M6 \! k- {Web Data and the Internet y! ^6 j. G2 G& D- ?; f0 S, M
XML and databases, web services
, F. w; |% u) T/ A3 S4 YSemi-structured data, metadata
3 [+ h$ j# ~% _. ]) M' _9 He-commence- N$ z/ z+ ?$ v8 i
! R+ d( T5 L; E- _
2. Data warehouse and Data mining0 ~6 d3 o0 Y$ K5 r( w
Grid/Parallel/distributed data warehousing
1 l& C7 {/ E4 b! b; }Web/** data warehouses) F, t2 T9 j, R, m' W5 N
Data warehousing and the semantic web
8 m/ Q8 l3 v1 P) t7 i/ pData warehousing with unstructured data
1 h3 K0 {) p7 C4 V A0 X& A8 q1 OIntegration of Data Warehousing
" L' e' d' F9 @ c1 IData and knowledge representation
( _/ z' ]8 S0 A0 L& o' VLanguages and inte**ces for data mining3 h0 s! L0 Y/ U( Y6 }
Data integration and interoperability
" p! P0 m+ ]6 _* ~/ M# q8 P, L9 ?4 P3 FData extraction, cleansing, transforming and loading& E: B9 B$ g# l9 k3 ~2 r
Data mining and information extraction
4 n$ k, A" p9 t* G( iKDD Process and Human Interaction
H! g# K4 m* [5 D9 l/ dOLAP and Data Mining
8 q8 g8 F. Q2 Q4 q, K* OParallel and Distributed Data Mining
, w7 z. M! L& PPhysical database design and performance evaluation
y* k( Z: @8 N6 lQuery processing and optimization
7 g0 g- ~% U1 Q5 \! I, iReliability and Robustness Issues
! c" G6 c# x# N6 K8 v9 ^1 w. GSemantic web and ontology
9 @4 P$ t2 H% ]( D: l* dSoftware Warehouse and Software Mining5 M" H$ R( V9 D# f
Social and mathematical statistics
9 N0 w7 `) D; x" z0 p* ]! t' u1 tNovel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)
2 D( Z, U) _+ ?: G. M2 B+ |$ |" U% nDeveloping a unifying theory of data mining
$ {1 a3 Y6 }' k( l2 H+ J' @* }Mining sequences and sequential data
. m# z& v L7 w( I" zData pre-processing, data reduction, feature selection, and feature transformation % [/ `: M" Z' c) A1 F
Quality assessment, interestingness analysis, and post-processing
, @ {; N, F; ~- a7 gMining unstructured, semi-structured, and structured data" r4 D& V1 g. T) h m
Mining temporal, spatial, spatio-temporal data
5 e' [" H O: lMining data streams and sensor data! @' E0 V" J- u0 _. V0 K
Mining ** data6 s% q+ y& W* n+ ~0 F, w& u
Mining social network data8 @1 @6 O. H, U" Z' c5 I" Q2 |. ^3 Y
Human-machine interaction and visual data mining
' v, M' V5 q/ t7 tData mining applications (bioinformatics, E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications, etc)
- C. \9 P# d+ T. IKnowledge Acquisition & Management
* S5 `; D9 I1 y) U. h' hKnowledge Modeling2 S& H& @; D$ V& A3 Z+ r
Knowledge Processing
( n0 R# B& h! p6 _Integrated KDD applications and systems - l3 w6 M5 o* Q, k7 |: f
Business Process Intelligence2 f; v: o1 }( }- u
Cluster Analysis and Knowledge Base system
2 ?7 M2 f1 i- W0 B) v2 yInformation systems technology; J4 F/ J z, K' Q: R
Other related technology about data mining2 P/ S# y7 ^- x% O
- P& p$ ~. V& L$ e3 U
3. Computer Science and Related Technology
9 N7 c6 Z* ~& x0 TImage and signal processing
. S4 I- b8 r0 {* y; }. gArtificial Intelligence
! s% P% |+ t2 ]" T" w! tSoftware engineering * `; U! }5 y6 R
Systems Engineering 7 y$ @( }5 ~: U9 L) m9 ~
Computer Graphics ( p! P3 j% D4 a# x& ]8 S5 A
Computer Application + k8 F0 ]! r/ Y8 E; {
Control Technology 2 b4 _: d* L7 E1 l% z* Z) d
Network Technology ' c( y) @: b& m: _4 H+ R- @
Network security 4 b' p7 j1 I. @
Numerical and symbolic computation
" P7 Z$ p! @7 w' ~# v" HComputer Modeling and Simulation
0 r7 f* |! u/ q( @Communication Technology 1 e4 \3 u3 x: B0 s
Algorithms and data structures
# }- n' a/ M7 u( K9 l% rComputer Education) o7 {4 G- B8 f' h8 U
Other Advanced Technology
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+ [& \; R. [: V% m9 _/ K' c======================================
8 b% a9 V7 t0 l, c3 l4 wDBTA2010会议联系秘书处# H$ c* q( p: \# V6 m
3 k9 C: |4 e( g& R/ i0 q邮件: dbta2010@vip.sina.com, info@icdbta.org% H9 u( O% J3 E. I9 |
电话: +86-15102769170
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